conftrace_

Mathematics & Optimization

19,283 papers (0 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (14,850) Mathematics (6,356) Probability (617) Statistics (361) Discrete Mathematics (23)

Papers per year

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8

13

8

24

100

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125

139

182

227

311

530

574

599

676

880

1,053

1,491

1,739

1,880

1,904

2,070

2,345

1,785

517

2000

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Papers (including subtopics)

Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimality of Contrastive Divergence Algorithms NeurIPS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024 Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ICLR 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 Nesting Particle Filters for Experimental Design in Dynamical Systems ICML 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Neural Closure Certificates AAAI 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Neural Optimal Transport with Lagrangian Costs UAI 2024 Neural Persistence Dynamics NeurIPS 2024 Neural Time-Reversed Generalized Riccati Equation AAAI 2024 New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering ICML 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024 New Proposal of Greenberg’s Universal 14 from Typometrics COLING 2024 New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming ICML 2024 Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms NeurIPS 2024 NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem AAAI 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ICLR 2024 No Dimensional Sampling Coresets for Classification ICML 2024